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Spring Health is a global mental health platform on a mission to eliminate barriers to mental health care. The company operates an AI-native platform delivering personalized support through self-guided tools, coaching, therapy, medication management, and specialty care, reaching over 170 million people worldwide through employers, health plans, and partners.
As Senior Director of Quality Engineering, you will lead the Quality Engineering organization and report to the SVP of Engineering. You will shape and execute the quality strategy for all products shipped, defining what "high quality" means for an AI-native healthcare company. This includes building testing frameworks, agentic quality systems, and evaluation infrastructure that enable faster releases with confidence while earning clinical and enterprise trust in AI-driven features.
Key responsibilities include:
- Develop and execute enterprise-wide Quality Engineering strategy, embedding quality across the AI-native software development lifecycle through automation, measurable standards, and release governance.
- Build modern testing frameworks specifically for AI-powered products, LLM applications, and agentic workflows, including automated evaluation, model validation, and continuous quality monitoring.
- Drive adoption of AI agents to automate test generation, regression testing, defect analysis, release readiness, and engineering productivity.
- Establish scalable testing practices across functional, integration, regression, performance, security, accessibility, and end-to-end testing.
- Build reusable testing platforms, automation frameworks, and CI/CD quality tooling that enable engineering teams to own quality and accelerate delivery.
- Define validation frameworks ensuring AI systems are reliable, safe, compliant, and trustworthy while partnering with Security, Privacy, Clinical, and AI teams.
- Ensure testing practices satisfy HIPAA, SOC 2, and applicable clinical and regulatory requirements, including validation evidence, auditability, traceability, and PHI-safe test data management.
- Lead and scale a high-performing, distributed Quality Engineering organization while driving cross-functional alignment and fostering a culture of quality and continuous improvement.
- Contribute to company-wide leadership initiatives including workforce planning, org design, and build-vs-buy decisions on quality tooling.
Success is measured by enterprise-wide quality strategy integration, significant improvements in automated test coverage, high release confidence with measurable reductions in escaped defects and production incidents, industry-leading testing frameworks for AI-native applications, successful AI agent augmentation of Quality Engineering, and engineering teams adopting quality-by-design principles.
The role is hybrid based in New York City with an expectation to be in the office 2–3 days per week at 60 Madison Avenue. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of start date. Occasional travel for team on-sites is required.
